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Assistant in Health Data Sciences you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyse real world
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Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco
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lecture/seminar delivery for specific subject areas: Digital Marketing, Business Statistics, Programming/AI for Business students, Analytics, Big Data, Auditing, Management Accounting, Econometrics
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theory as well as engaging with pressing real-world problems that affect cities. You will have the opportunity to be supervised by internationally acclaimed scholars. Our strengths include: Big data, GIS
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receive training in analytical procedures and will develop your data management, problem solving, geological thinking, and written and spoken communication. The projects are ripe for publication and if you
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biomass variability and develop a robust pasture biomass model, calibrated with in-situ data, to deliver near real-time biomass estimates over large areas. Project rationale: Grasslands are valuable
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therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial characteristics of TMEs [1]. In lung